ORC AI

G2i.ai is an engineering services company focused on AI training. It converts real software workflows into evaluations, tasks, rubrics, training environments, and data programs, and assembles vetted senior engineers for model evaluation, reinforcement-learning environments, agent workflows, and benchmark work. Its RL environments support UI/API parity, tool use, scoring, and telemetry; the company also describes security controls aligned with SOC 2 Type II workflows.

Orca is a free, open-source agent development environment for running multiple coding agents in parallel on desktop, mobile, or a VPS. It runs CLI agents such as Codex, Claude Code, OpenCode, and Pi side by side, placing each agent in an isolated Git worktree so results can be compared and merged. The environment provides split terminals, a VS Code editor, diff annotation and review, browser-based Design Mode that sends selected HTML, CSS, and screenshots to an agent, native GitHub and Linear views, SSH worktrees with port forwarding, and a mobile companion for monitoring agents and sending follow-ups. Its CLI can script workflows such as creating worktrees, taking snapshots, clicking, and filling fields. Orca is designed to work with any coding agent that runs in a terminal and uses the user's own agent subscriptions.

OpenCode is an open-source AI coding agent developed by anomalyco. It is used as a terminal-based coding agent and external coding harness, with a beta desktop application also available. The CLI includes a full-access build agent for development work and a read-only plan agent for code analysis and exploration; the plan agent denies file edits by default and asks permission before running shell commands. OpenCode also provides a general subagent for complex searches and multistep tasks, and can be installed through its shell installer, package managers, or platform-specific desktop packages.

Open Code Review is an open-source, AI-powered command-line code-review tool developed from Alibaba Group’s internal review assistant. It reads Git diffs and sends changed files to a configurable LLM through an agent with tool-use capabilities; the agent can read complete files, search the repository, and inspect other changed files for context before producing structured comments tied to source lines. Its hybrid architecture combines deterministic engineering with dynamic agent decisions: deterministic stages select and bundle files, match rules to file characteristics, and apply independent comment-positioning and reflection modules, while scenario-specific prompts and tools guide context retrieval and review. The `ocr scan` command audits complete files or directories without requiring a meaningful diff, and the project provides multilingual rules for issues including null-pointer exceptions, thread safety, cross-site scripting, and SQL injection. It supports configurable model endpoints, including OpenAI- and Anthropic-compatible endpoints, and requires Git 2.41 or newer.

iCode is a lightweight, extensible, fully offline terminal development platform and toolkit for orchestrating AI agents and workflows, developed as an open-source project by openJiuwen-ai. Its terminal interface shows the active agent, model, approval mode and session; renders Markdown and diagrams; and provides workflow execution views with per-node models, tool calls and token spending. Agents are configured rather than coded and can include instructions, tools, sub-agents, skills, MCP servers and memory. Model profiles from different providers can be switched during a conversation, while file diffs, turn-based rollback, token and cache usage, model/tool timelines, and an embedded shell expose and control execution. iCode does not include models, telemetry, analytics or crash reporting; it uses only the providers, MCP servers and hooks configured by the user. The repository describes the project as a work in progress, requires uv to run, and distributes it under the Apache License 2.0 alongside separately licensed third-party components.